Triple
T6648015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean national road network |
E150749
|
entity |
| Predicate | hasSecondaryAxis |
P42977
|
FINISHED |
| Object | east–west transversal routes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: east–west transversal routes | Statement: [Chilean national road network, hasSecondaryAxis, east–west transversal routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryAxis Context triple: [Chilean national road network, hasSecondaryAxis, east–west transversal routes]
-
A.
secondaryAxis
chosen
Indicates a relationship where one axis serves as a secondary or auxiliary reference dimension relative to a primary axis in a coordinate or measurement system.
-
B.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
C.
hasSecondaryPeak
Indicates that an entity exhibits an additional, smaller peak or maximum beyond its primary peak in its profile or behavior.
-
D.
hasSecondarySource
Indicates that an entity is supported, documented, or referenced by a secondary source rather than by a primary or original source.
-
E.
hasSecondarySubject
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.